public void DoExperiment()
        {
            List <PriceCandle> all_data = ToolsPrice.GetPriceCandles();

            // new DateTime(2016, 9, 3)
            PlotLine2D line_plot_2d = new PlotLine2D();


            for (int month_index = 1; month_index < 9; month_index++)
            {
                DateTimeUTC nfp_date = null;// ToolsTradingCalendarEvent.GetNFPDatetime(2016, month_index);

                DateTimeUTC   nfp_date_begin = nfp_date.AddMinutes(-100);
                DateTimeUTC   nfp_date_end   = nfp_date.AddMinutes(100);
                List <double> nfp_time       = new List <double>();
                List <double> nfp_bid        = new List <double>();

                double candle_time = 0;
                double subtract    = 0;
                foreach (PriceCandle candle in all_data)
                {
                    if ((nfp_date_begin <= candle.OpenTime) && (candle.OpenTime < nfp_date_end))
                    {
                        if (candle_time == 0)
                        {
                            subtract = candle.OpenBid;
                        }
                        nfp_time.Add(candle_time);
                        nfp_time.Add(candle_time);
                        nfp_time.Add(candle_time);
                        nfp_time.Add(candle_time);
                        nfp_bid.Add(candle.OpenBid);
                        nfp_bid.Add(candle.LowBid);
                        nfp_bid.Add(candle.HighBid);
                        nfp_bid.Add(candle.CloseBid);
                        candle_time++;
                    }
                }
                line_plot_2d.AddSeries(nfp_time, nfp_bid, Color.Black);
            }
            ToolsPlotting.WriteToFile(ToolsTradingDataSet.GetPath() + "nfp.png", line_plot_2d, 800, 800);
        }
Beispiel #2
0
        internal void DoExperiment()
        {
            ToolsPrice.ComposeBinary(ToolsPrice.DefaultSymbolGBPUSD);
            PriceSet price_set = ToolsPrice.GetPriceSet(ToolsPrice.DefaultSymbolGBPUSD).SubSet(new DateTimeUTC(2016, 10, 17), new DateTimeUTC(2016, 10, 20));

            //PlotLine2D line_plot_2d_0 = new PlotLine2D();
            //ToolsTradingPlotting.AddPrice(line_plot_2d_0, price_set, TimeScale.Spot, PriceType.Bid, Color.Blue);
            //ToolsTradingPlotting.AddPrice(line_plot_2d_0, price_set, TimeScale.Spot, PriceType.Mean, Color.Green);
            //ToolsTradingPlotting.AddPrice(line_plot_2d_0, price_set, TimeScale.Spot, PriceType.Ask, Color.Red);
            //ToolsTradingPlotting.AddPrice(line_plot_2d_0, price_set, TimeScale.Day1, PriceType.Bid, Color.Black);
            //ToolsTradingPlotting.AddPrice(line_plot_2d_0, price_set, TimeScale.Day1, PriceType.Mean, Color.Green);
            //ToolsTradingPlotting.AddPrice(line_plot_2d_0, price_set, TimeScale.Day1, PriceType.Ask, Color.Red);
            //ToolsTradingPlotting.WriteToFile(ToolsTradingDataSet.GetPath() + "TestPlot0.png", line_plot_2d_0);

            IIndicator indicator      = new IndicatorMagicProfit(60);
            PlotLine2D line_plot_2d_1 = new PlotLine2D();

            ToolsTradingPlotting.AddIndicatorResult(line_plot_2d_1, price_set, indicator, new Color[] { Color.Red, Color.Green }, new int[] { 0, 1 });
            ToolsTradingPlotting.WriteToFile(ToolsTradingDataSet.GetPath() + "TestPlot3.png", line_plot_2d_1);



            //ToolsTradingPlotting.PlotPriceBid(ToolsTradingDataSet.GetPath() + "prices.png", prices);
            //ToolsTradingPlotting.PlotIndicatorResult(ToolsTradingDataSet.GetPath() + "indicator_0.png", prices, indicator_0, color_list, index_list, true);
            //ToolsTradingPlotting.PlotIndicatorResult(ToolsTradingDataSet.GetPath() + "indicator_1.png", prices, indicator_1, color_list, index_list, true);


            //IPolicyTemplate policy = new PolicyTemplateJaapBands();
            //MarketManagerSimulation exchange = new MarketManagerSimulation(10000, price_set);
            //MarketResult market_result = exchange.Run(policy.Instance());
            //Console.WriteLine(market_result.EndCash + " in: " + market_result.Market.ClosedOrders.Count);

            //PlotLine2D line_plot_2d_0 = new PlotLine2D();
            //ToolsTradingPlotting.AddBidAskTrades(line_plot_2d_0, market_result);
            //ToolsTradingPlotting.WriteToFile(ToolsTradingDataSet.GetPath() + "TestPlot0.png", line_plot_2d_0);


            //PlotLine2D line_plot_2d_1 = new PlotLine2D();
            //ToolsTradingPlotting.AddCashEquity(line_plot_2d_1, market_result);
            //ToolsTradingPlotting.WriteToFile(ToolsTradingDataSet.GetPath() + "TestPlot1.png", line_plot_2d_1);
        }
        public void DoExperiment()
        {
            PriceSet          price_set  = ToolsPrice.GetPriceSet(ToolsPrice.DefaultSymbolGBPUSD);
            List <IIndicator> indicators = new List <IIndicator>();

            indicators.Add(new IndicatorRunningAverage(4));
            indicators.Add(new IndicatorRunningAverage(6));
            indicators.Add(new IndicatorRunningAverage(8));
            indicators.Add(new IndicatorRunningAverage(10));
            indicators.Add(new IndicatorRunningAverage(12));
            IIndicator feature_indicator = new IndicatorFusion(indicators);
            IIndicator label_indicator   = new IndicatorMagicProfit(60);



            MarketModelSimulation                market   = new MarketModelSimulation(1000, price_set);
            DataSet <double, double>             dataset  = ToolsTradingDataSet.CreateDataSet(market, feature_indicator, label_indicator);
            ITemplateModelLabel <double, double> template = null;//new TemplateModelLibSVMCSVC();
            IModelLabel <double, double>         model    = template.GenerateModel(dataset);

            //TODO change everyting into templates
            List <IIndicator> indicators_2 = new List <IIndicator>();

            indicators_2.Add(new IndicatorRunningAverage(4));
            indicators_2.Add(new IndicatorRunningAverage(6));
            indicators_2.Add(new IndicatorRunningAverage(8));
            indicators_2.Add(new IndicatorRunningAverage(10));
            indicators_2.Add(new IndicatorRunningAverage(12));
            IIndicator feature_indicator_2 = new IndicatorFusion(indicators_2);

            //Build actual incator

            IIndicator    indicator_0 = new IndicatorMagicProfit(60);
            IIndicator    indicator_1 = new IndicatorMachineLearning(feature_indicator_2, model, "Profit_long_ml");
            IList <Color> color_list  = new Color[] { Color.Black };
            IList <int>   index_list  = new int[] { 0 };

            ToolsTradingPlotting.PlotIndicatorResult(ToolsTradingDataSet.GetPath() + "indicator_0.png", price_set, indicator_0, color_list, index_list, false);
            ToolsTradingPlotting.PlotIndicatorResult(ToolsTradingDataSet.GetPath() + "indicator_1.png", price_set, indicator_1, color_list, index_list, false);
        }
        public void DoExperiment()
        {
            ToolsPrice.ComposeBinary(ToolsPrice.DefaultSymbolGBPUSD);
            PriceSet price_set = ToolsPrice.GetPriceSet(ToolsPrice.DefaultSymbolGBPUSD).SubSet(new DateTimeUTC(2016, 10, 17), new DateTimeUTC(2016, 10, 20));


            IIndicator            indicator_feature = new IndicatorSuperBollinger();
            IIndicator            indicator_label   = new IndicatorMagicProfit(60);
            MarketModelSimulation market0           = new MarketModelSimulation(10000, price_set);
            MarketModelSimulation market1           = new MarketModelSimulation(10000, price_set);

            double[] time = new double[price_set.Prices.Count];
            for (int price_index = 0; price_index < price_set.Prices.Count; price_index++)
            {
                time[price_index] = price_set.Prices[price_index].Time.Ticks;
            }

            Tuple <double[, ], bool[]> tuple0 = indicator_feature.ComputeAll(market0, price_set.Second1.Count);
            Tuple <double[, ], bool[]> tuple1 = indicator_label.ComputeAll(market1, price_set.Second1.Count);

            List <string[]> list_string = new List <string[]>();

            for (int index_0 = 0; index_0 < tuple0.Item2.Length; index_0++)
            {
                if (tuple0.Item2[index_0] && tuple1.Item2[index_0])
                {
                    double[] array_double = ToolsCollection.Append(tuple0.Item1.Select1DIndex0(index_0), tuple1.Item1.Select1DIndex0(index_0));
                    string[] array_string = new string[array_double.Length];
                    for (int index_1 = 0; index_1 < array_double.Length; index_1++)
                    {
                        array_string[index_1] = array_double[index_1].ToString(CultureInfo.InvariantCulture);
                    }
                    list_string.Add(array_string);
                }
            }

            ToolsIOCSV.WriteCSVFile(ToolsTradingDataSet.GetPath() + "data.csv", ToolsCollection.ConvertToArray2D(list_string));
        }
Beispiel #5
0
        public void DoExperiment()
        {
            PriceSet price_set = ToolsPrice.GetPriceSet(ToolsPrice.DefaultSymbolGBPUSD);

            List <IPolicy> policies        = new List <IPolicy>();
            double         long_threshold  = 10 * Math.Pow(10, -6);
            double         short_threshold = -10 * Math.Pow(10, -6);

            for (int index = 0; index < 1; index++)
            {
                policies.Add(new PolicyTemplateJaapBands().Instance());
            }

            MarketResult[] market_results = new MarketResult[policies.Count];

            Parallel.For(0, policies.Count, index =>
            {
                MarketManagerSimulation exchange = new MarketManagerSimulation(10000, price_set);
                market_results[index]            = exchange.Run(policies[index]);
            });

            List <Tuple <MarketResult, IPolicy> > accepted_policy = new List <Tuple <MarketResult, IPolicy> >();

            for (int index = 0; index < market_results.Length; index++)
            {
                //    if(market_results[index].Market.ClosedOrders.Count > 9 && market_results[index].EndCash > 10000)
                //    {
                accepted_policy.Add(new Tuple <MarketResult, IPolicy>(market_results[index], policies[index]));
                //    }
            }

            for (int index = 0; index < accepted_policy.Count; index++)
            {
                var xx = accepted_policy[index];
                Console.WriteLine(xx.Item1.EndCash + " in: " + xx.Item1.Market.ClosedOrders.Count);
                ToolsTradingPlotting.PlotMarketResult(ToolsTradingDataSet.GetPath() + "Trades" + index + ".png", xx.Item1);
            }
        }
Beispiel #6
0
        private static void CreateEventCSV()
        {
            // read CSV
            string[,] source = ToolsIOCSV.ReadCSVFile(ToolsTradingDataSet.GetPath() + "events.csv", Delimiter.SemiColon);

            //Allocate new array
            List <string[]> result_list = new List <string[]>();

            string[] exclusion = new string[] { "day", "Day", "Data" };
            //For each other column
            for (int index_0 = 0; index_0 < source.GetLength(0); index_0++)
            {
                if (!ExtensionsString.ContainsAny(source[index_0, 2], exclusion))
                {
                    string[] result = new string[3]; // Date symbol impact


                    //Find dat
                    DateTime week_start = DateTime.Parse(source[index_0, 0]);
                    int      year       = week_start.Year;
                    int      month      = ToolsForexFactory.MonthToInt(source[index_0, 1].Split(' ')[0]);
                    int      day        = int.Parse(source[index_0, 1].Split(' ')[1]);

                    if ((week_start.Month == 12) && (month == 1))
                    {
                        year++;
                    }

                    int hour   = int.Parse(source[index_0, 2].Split(':')[0]);
                    int minute = int.Parse(source[index_0, 2].Split(':')[1].Substring(0, 2));

                    if (source[index_0, 2].Contains("pm"))
                    {
                        hour = hour + 12;
                    }
                    if (hour == 24)
                    {
                        hour = 0;
                        DateTime date_time = new DateTime(year, month, day, hour, minute, 0);
                        date_time = date_time.AddDays(1);
                        result[0] = ToolsTime.DateTimeToUnixTimestampInt32(date_time).ToString();
                    }
                    else
                    {
                        DateTime date_time = new DateTime(year, month, day, hour, minute, 0);
                        result[0] = ToolsTime.DateTimeToUnixTimestampInt32(date_time).ToString();
                    }

                    result[1] = source[index_0, 3];
                    switch (source[index_0, 4])
                    {
                    case "Non-Economic":
                        result[2] = "0";     // Impacs
                        break;

                    case "Low Impact Expected":
                        result[2] = "1";     // Impacs
                        break;

                    case "Medium Impact Expected":
                        result[2] = "2";     // Impacs
                        break;

                    case "High Impact Expected":
                        result[2] = "3";     // Impacs
                        break;

                    default:
                        throw new Exception("Unknown impact");
                    }
                    result_list.Add(result);
                }
            }
            ToolsIOCSV.WriteCSVFile(ToolsTradingDataSet.GetPath() + "events_small.csv", ToolsCollection.ConvertToArray2D(result_list));
        }